Ishan Misra

Research Scientist @ GenAI (Meta)

I am a Research Scientist at Meta where I work on Computer Vision and Machine Learning. My research interest is in training multimodal machine learning models at scale.


Education

Ph.D. in Robotics
Carnegie Mellon University, Pittsburgh, USA
Thesis: Visual Learning with Minimal Human Supervision
Advisor: Martial Hebert , Co-advisor: Abhinav Gupta
Committee: Martial Hebert , Abhinav Gupta , Deva Ramanan , Alyosha Efros , Andrew Zisserman
CMU School of Computing Science Distinguished Dissertation Award (Runner Up)
Thesis Project Page Thesis
M.S. in Robotics
Carnegie Mellon University, Pittsburgh, USA
Thesis: Data Driven Exemplar Model Selection
Advisor: Martial Hebert
Siebel Scholarship
BTech (Hons) in Computer Science Engineering
IIIT, India
Thesis: Hybrid implementation of Image Dithering
Advisor: P J Narayanan
Rank 1/150 in graduating class
Gold Medalist for Computer Science (Summa Cum Laude)

Selected Honors and Awards

2024
Carnegie Mellon University's Recent Alumni Achievemnt Award
Contributions to self-supervised learning in computer vision. One of 11 honorees across all global alumni
2022
MIT Tech Review's 35 innovators under 35
Contributions to self-supervised learning in computer vision. Compiled globally across the world in all technology areas.
2021
Best Paper Finalist CVPR 2021
Paper: "Audio Visual Instance Discrimination"
2018
Carnegie Mellon (SCS) Distinguished Dissertation, Runner Up
PhD Thesis: "Visual Learning with Minimal Human Supervision"
2014
Siebel Scholarship
Selected from all graduate students at the School of Computer Science, CMU
2014
Best Student Paper, IEEE WACV
Paper: Data Driven Exemplar Model Selection

Press

November 2023

Emu Video: Text-to-Video Generation

Meta (announced by Mark Zuckerberg), Reuters, TheVerge, Tech Crunch
April 2023

DINOv2: State-of-the-art computer vision models with self-supervised learning

Meta (announced by Mark Zuckerberg), Venture Beat, KD Nuggets, AI Papers Academy
May 2023

ImageBind: a new way to link AI across senses

Meta (announced by Mark Zuckerberg), The Verge, Engadget, WorldOfAI
March 2021

Self-supervised Learning: The dark matter of intelligence

Meta (co-written with Yann LeCun)
March 2021

SEER: The start of a more powerful, flexible, and accessible era for computer vision

Meta, CNBC, Wired, Engadget

Industry Research Experience

Feb 2023 - Present
Meta (Facebook), Seattle, WA, USA
Research Scientist, Generative AI
Lead the research team for video generation and understanding
Sep 2018 - Feb 2023
Meta (Facebook), New York, NY, USA
Research Scientist, FAIR
Fundamental research on self-supervised and multimodal representation learning
Summer 2017
Meta (Facebook), New York, NY, USA
Research Intern, FAIR
Mentor: Rob Fergus , Ross Girshick , Laurens van der Maaten
Designed a visual question answering system that acquires knowledge by identifying gaps in its knowledge and asking questions to humans to fill those gaps, published at CVPR'17
Summer 2015
Microsoft Research, Redmond, WA, USA
Research Intern, Computer Vision
Mentor: Ross Girshick , Larry Zitnick , Margaret Mitchell , Jacob Devlin
Worked on vision-language systems for generating questions (published at ACL), storytelling datasets (published at NAACL), weakly supervised learning (published at CVPR)
Summer 2014
Microsoft Research, Redmond, WA, USA
Research Intern, Computer Vision
Mentor: Xia Sheng Hua
Worked on improving image search systems using patch-based deep learning features (2 US patents granted)

Academic Research Experience

Summer 2012
INRIA, Paris, France
Research Intern, Ecole Centrale
Mentor: Iasonas Kokkinos
Worked on shape from shading
Summer 2011
Yale, New Haven, CT, USA
Research Intern, Computer Science
Mentor: Bryan Ford
Worked on deterministic distributed operating systems: writing bootloaders in assembly and parallel threading libraries.

Talks

What world priors do generative visual models learn?
October 2024
ECCV Workshop on Self Supervised Learning: What is Next? at Milan, Italy
What makes Generative video models tick faster?
October 2024
ECCV Workshop on Efficient Deep Learning for Foundation Models at Milan, Italy
What makes Generative video models tick?
October 2024
ECCV Workshop on FOundation models Creators meet USers at Milan, Italy
October 2024
ECCV Tutorial on Time is precious: Self-Supervised Learning Beyond Images at Milan, Italy
Beyond pretty pictures: What's needed to make Generative Visual Models useful?
July 2024
ELLIS Workshop on Open Problems in Computer Vision & Generative Modelling at Munich, Germany
Generative models for Computer Vision
July 2024
Oxford Machine Learning Summer School at the University of Oxford, UK
Improving generative models for vision: high quality videos and precise image control
March 2024
ELLIS Winter School on Foundation Models at Amsterdam, Netherlands
Generative Models for Multimodal Learning
February 2024
Human-centric representation learning workshop at AAAI
Emu Video: State of the Art Video Generation
January 2024
Aleksa Gordic's Discord (AI Epiphany)
Using unlabeled data to scale representations across modalities
October 2023
Learning from Noisy and Unlabled Data, ICCV, Paris, France
SSL scales multimodal pretraining to more modalities and data
October 2023
Big Model Adaptation for Computer Vision Workshop, ICCV, Paris, France
June 2023
Transformers for Vision Workshop, CVPR, Vancouver, Canada
Machine Learning without Human Supervision
January 2023
Epoch Foundation, Young Innovators Conference
General-purpose Visual Recognition Systems: Beyond a Single Modality and a Task
October 2022
CV in the Wild Workshop. ECCV, Tel Aviv, Israel
General-purpose Visual Recognition Across Modalities with Limited Supervision
October 2022
L2ID Workshop. ECCV, Tel Aviv, Israel
Representation Learning Beyond a Single Dataset and Modality
October 2022
Self-supervised Learning: What's Next Workshop. ECCV, Tel Aviv, Israel
Self-supervised Learning
August 2022
Summer School at IIIT-H, India
Visual Recognition and Self-supervised Learning
August 2022
Oxford Machine Learning Summer School, UK
General purpose Vision Models
August 2022
Visual Geometry Group, University of Oxford
Self-supervised Visual Learning
April 2022
Keynote speaker at Ghostday ML Conference
Object Discovery using Transformers
2022
Invited at Zipline, Inc.
Can Machines Learn to See without Human Supervision?
2022
IIM Ahmedabad, India
3D Recognition using Transformers
2021
Invited at Aurora, Inc.
Redundancy Reduction for Self-supervised Learning
2021
University of Illinois, Urbana Champaign
Learning Vision Models with Minimal Supervision
2021
IIT Jodhpur, India

Guest Lectures

Video Diffusion Models
2023
Guest Lecture: Deep Learning course by Abhinav Gupta at Carnegie Mellon University
Multimodal learning
2023
Guest Lecture: Deep Learning course by Abhinav Shrivastava at UMD, College Park
Self-supervised Learning in Vision
2023, 2022, 2021, 2020, 2019
Guest Lecture: Deep Learning course by Rob Fergus at NYU
2021, 2020
Guest Lecture: Deep Learning course by Yann LeCun at NYU
2022, 2021
Guest Lecture: Deep Learning course by Zsolt Kira at Georgia Tech
2022, 2020, 2019
Guest Lecture: Deep Learning course by Dhruv Batra at Georgia Tech
2021, 2020, 2019
Guest Lecture: Deep Learning course by Abhinav Shrivastava at UMD, College Park
Structure from Motion
2019
Guest Lecture: Computer Vision course by Rob Fergus at NYU

Collaborators and Interns

January 2023 - present
Saketh Rambhatla at GenAI (Meta)
PhD from University of Maryland, College Park
Postdoctoral Researcher
Summer 2023
Xudong Wang at GenAI (Meta)
PhD, University of California, Berkeley
Internship on instance conditioned diffusion models. Co-hosted with Rohit Girdhar, Saketh Rambhatla.
Summer 2023
Sachit Menon at GenAI (Meta)
PhD, University of California, Berkeley
Internship on LLMs + diffusion models for visual instruction generation. Co-hosted with Rohit Girdhar.
Summer 2023
Feng (Jeff) Liang at GenAI (Meta)
PhD, University of Texas, Austin
Internship on video diffusion models for editing. Co-hosted with Bichen Wu.
2022-2023
Nur Muhammad Mahi Shafiullah at GenAI (Meta)
PhD, New York University
Visiting Researcher working on Home Robotics. Co-hosted with Soumith Chintala.
Apple PhD Fellowship 2023
Summer 2023
Basile Van Hoorick at GenAI (Meta)
PhD, Columbia University
Internship on video diffusion models. Co-hosted with Laurens van der Maaten.
Summer 2022
Xudong Wang at FAIR (Meta)
PhD, University of California, Berkeley
Internship on self-supervised segmentation (published at CVPR'23). Co-hosted with Rohit Girdhar.
Summer 2022
Yue Zhao at FAIR (Meta)
PhD, University of Texas, Austin
Internship on LLMs + Video understanding (published at CVPR'23). Co-hosted with Rohit Girdhar.
NVIDIA Graduate Fellowship 2024-2025
Summer 2021
Xingyi Zhou at FAIR (Meta)
PhD, University of Texas, Austin
Internship on Open Vocabulary Object Detection (published at ECCV'22). Co-hosted with Armand Joulin, Rohit Girdhar.
Facebook Fellowship 2021
Now: Research Scientist at Google Research
Summer 2021
Bowen Cheng at FAIR (Meta)
PhD, University of Illinois at Urbana-Champaign
Internship on transformers for pixel segmentation (published at CVPR'22)
Now: ML Scientist at Tesla
Summer 2021
Karan Desai at FAIR (Meta)
PhD, University of Michigan at Ann Arbor
Internship on using scribbles for segmenting objects (published at BMVC'22). Co-hosted with Laurens van der Maaten.
Summer 2020
Zaiwei Zhang at FAIR (Meta)
PhD, University of Texas, Austin
Internship on self-supervised learning using depth (published at ICCV'21). Co-hosted with Armand Joulin, Rohit Girdhar.
Now: Researcher at Cruise
Summer 2020
Zhongzheng (Jason) Ren at FAIR (Meta)
PhD, University of Illinois at Urbana-Champaign
Internship on weakly supervised learning for 3D detection (published at CVPR'21). Co-hosted with Rohit Girdhar.
Now: Research Scientist at Apple
Summer 2020
Yuki Asano at FAIR (Meta)
PhD, University of Oxford
Internship on self-supervised learning for object discovery. Co-hosted with Armand Joulin, Piotr Bojanowski, Andrea Vedaldi.
Now: Assistant Professor at University of Amsterdam
Summer 2019
Pedro Morgado at FAIR (Meta)
PhD, University of California, San Diego
Internship on self-supervised learning for audiovisual learning (published at ECCV'20, best-paper finalist).
Now: Assistant Professor at University of Wisconsin-Madison (EECS)
Summer 2019
Huaizu Jiang at FAIR (Meta)
PhD, University of Massachusetts, Amherst
Internship on visual question answering (published at CVPR'20). Co-hosted with Xinlei Chen.
Now: Assistant Professor at Northeastern University
Summer 2019
Jyh-Jing Hwang at FAIR (Meta)
PhD, University of California, Berkeley
Internship on anytime video recognition. Co-hosted with Laurens van der Maaten.
Now: Research Scientist at Waymo Research
Summer 2019
Yan Wang at FAIR (Meta)
PhD, Cornell University
Internship on anytime image recognition. Co-hosted with Laurens van der Maaten.
Now: Research Scientist at Waymo Research
Summer 2019
Terrance DeVries at FAIR (Meta)
PhD, Cornell University
Internship on bias in object recognition systems (published at CVPRW'2019). Co-hosted with Laurens van der Maaten.
Now: Research Scientist at Luma AI
2018
Nilesh Kulkarni at Carnegie Mellon University
Masters in Robotics, Carnegie Mellon University
Worked on image augmentations for object detection (published at ICCV'2019)
Now: PhD Student at University of Michigan, Ann Arbor
2016
Debidatta Dwibedi at Carnegie Mellon University
Masters in Robotics, Carnegie Mellon University
Worked on image augmentations for object detection (published at ICCV'2017)
Now: Research Scientist at Google Brain

Academic Service

Area Chair

IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR: 2021 , 2023 , 2024
European Conference on Computer Vision ECCV: 2024
Neural Information Processing Systems NeurIPS: 2022 , 2023 , 2024
International Conference on Learning Representations ICLR: 2023

Reviewing

IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR: 2015 , 2016 , 2017 , 2018 , 2019 , 2020 , 2022
IEEE/CVF International Conference on Computer Vision ICCV: 2015 , 2017 , 2019 , 2021 , 2023
European Conference on Computer Vision ECCV: 2016 , 2018 , 2020 , 2022
Neural Information Processing Systems NeurIPS: 2018 , 2019 , 2020 , 2021
International Conference on Learning Representations ICLR: 2019 , 2020 , 2021

Workshops

Workshop on Self-Supervised Learning Theory and Practice : 2023 , 2022 , 2021 , 2020
Tutorial on Self-Supervised Learning : 2023
Extreme Scale Vision : 2019
Vision & Language StoryTelling Workshop : 2017

Doctoral Thesis Committee

2024
Xudong Wang (University of California Berkeley)
2024
Alexandre Devillers (INRIA)
2023
Nirat Saini (University of Maryland, College Park)

Publications

A complete and updated list of my publications is available on my Google Scholar profile.

Movie Gen: A Cast of Media Foundation Models
The Movie Gen Team (Overall Tech Lead; Core Contributor)
Meta Research (arxiv). 2024.
PDF
The Llama 3 Herd of Models
The Llama3 Team (played role of a Core Contributor for video recognition)
arxiv (arxiv). 2024.
PDF Code
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
Rohit Girdhar^ *, Mannat Singh^ *, Andrew Brown *, Quentin Duval *, Samaneh Azadi *, Sai Saketh Rambhatla , Akbar Shah , Xi Yin , Devi Parikh , Ishan Misra *
ECCV (ECCV). 2024.
PDF BibTeX Powers Meta's /animate product *Authors contributed equally
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis
Feng Liang , Bichen Wu , Jialiang Wang , Licheng Yu , Kunpeng Li , Yinan Zhao , Ishan Misra , Jia-Bin Huang , Peizhao Zhang , Peter Vajda , Diana Marculescu
CVPR (CVPR). 2024.
PDF BibTeX Highlight
InstanceDiffusion: Instance-level Control for Image Generation
Xudong Wang , Trevor Darrell , Sai Saketh Rambhatla , Rohit Girdhar , Ishan Misra
CVPR (CVPR). 2024.
PDF Code BibTeX
Generating Illustrated Instructions
Sachit Menon , Ishan Misra , Rohit Girdhar
CVPR (CVPR). 2024.
PDF BibTeX
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
Xudong Wang , Ishan Misra , Ziyun Zheng , Rohit Girdhar , Trevor Darrell
CVPR (CVPR). 2024.
PDF BibTeX
The effectiveness of MAE pre-pretraining for billion-scale pretraining
Mannat Singh *, Quentin Duval *, Kalyan Vasudev Alwala *, Haoqi Fan , Vaibhav Aggarwal , Aaron Adcock , Armand Joulin , Piotr Dollár , Christoph Feichtenhofer , Ross Girshick , Rohit Girdhar , Ishan Misra
ICCV (ICCV). 2023.
PDF Code Colab BibTeX *Authors contributed equally
MOST: Multiple Object localization with Self-supervised Transformers for object discovery.
Sai Saketh Rambhatla , Ishan Misra , Rama Chellappa , Abhinav Shrivastava
ICCV (ICCV). 2023.
PDF Code BibTeX Oral
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
Yang Fu , Ishan Misra , Xiaolong Wang
ICML (ICML). 2023.
PDF BibTeX
ImageBind: One Embedding Space To Bind Them All
Rohit Girdhar *, Alaaeldin El-Nouby *, Zhuang Liu , Mannat Singh , Kalyan Vasudev Alwala , Armand Joulin , Ishan Misra *
CVPR (CVPR). 2023.
Demo PDF Code Demo BibTeX Highlighted paper *Authors contributed equally
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Xudong Wang , Rohit Girdhar , Stella X. Yu , Ishan Misra
CVPR (CVPR). 2023.
PDF Code BibTeX
Learning Video Representations from Large Language Models
Yue Zhao , Ishan Misra , Philipp Krahenbuhl , Rohit Girdhar
CVPR (CVPR). 2023.
PDF Code Colab BibTeX Highlighted paper
The Hidden Uniform Cluster Prior in Self-Supervised Learning
Mahmoud Assran , Randall Balestriero , Quentin Duval , Florian Bordes , Ishan Misra , Piotr Bojanowski , Pascal Vincent , Michael Rabbat , Nicolas Ballas
ICLR (ICLR). 2023.
PDF BibTeX
OmniMAE: Single Model Masked Pretraining on Images and Videos
Rohit Girdhar *, Alaaeldin El-Nouby *, Mannat Singh *, Kalyan Vasudev Alwala *, Armand Joulin , Ishan Misra *
CVPR (CVPR). 2023.
PDF Code BibTeX *Authors contributed equally
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran , Mathilde Caron , Ishan Misra , Piotr Bojanowski , Florian Bordes , Pascal Vincent , Armand Joulin , Michael Rabbat , Nicolas Ballas
ECCV (ECCV). 2022.
PDF Code BibTeX
Detecting Twenty-thousand Classes using Image-level Supervision
Xingyi Zhou , Rohit Girdhar , Armand Joulin , Phillip Krahenbuhl , Ishan Misra
ECCV (ECCV). 2022.
PDF Code BibTeX
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal , Quentin Duval , Isaac Seessel , Mathilde Caron , Ishan Misra , Levent Sagun , Armand Joulin , Piotr Bojanowski
Arxiv (Arxiv). 2022.
PDF
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar *, Mannat Singh *, Nikhila Ravi *, Laurens van der Maaten , Armand Joulin , Ishan Misra *
CVPR (CVPR). 2022.
PDF Code BibTeX Oral *Authors contributed equally
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng , Ishan Misra , Alexander G. Schwing , Alexander Kirillov , Rohit Girdhar
CVPR (CVPR). 2022.
PDF Code BibTeX
An End-to-End Transformer Model for 3D Object Detection
Ishan Misra , Rohit Girdhar , Armand Joulin
ICCV (ICCV). 2021.
PDF Code BibTeX Oral
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron , Hugo Touvron , Ishan Misra , Hervé Jégou , Julien Mairal , Piotr Bojanowski , Armand Joulin
ICCV (ICCV). 2021.
PDF Code
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang , Rohit Girdhar , Armand Joulin , Ishan Misra
ICCV (ICCV). 2021.
PDF Code BibTeX
MDETR : Modulated Detection for End-to-End Multi-Modal Understanding
Aishwarya Kamath , Mannat Singh , Yann LeCun , Ishan Misra , Gabriel Synnaeve , Nicolas Carion
ICCV (ICCV). 2021.
PDF Code Oral
Audio-Visual Instance Discrimination with Cross-Modal Agreement
Pedro Morgado , Nuno Vasconcelos , Ishan Misra
CVPR (CVPR). 2021.
PDF Code BibTeX Best Paper Candidate
Robust Audio-Visual Instance Discrimination
Pedro Morgado , Ishan Misra , Nuno Vasconcelos
CVPR (CVPR). 2021.
PDF BibTeX Oral
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar *, Li Jing *, Ishan Misra , Yann LeCun , Stéphane Deny
ICML (ICML). 2021.
PDF Code BibTeX *Authors contributed equally
3D Spatial Recognition without Spatially Labeled 3D
Zhongzheng Ren , Ishan Misra , Alexander G. Schwing , Rohit Girdhar
CVPR (CVPR). 2021.
PDF
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron , Ishan Misra , Julien Mairal , Priya Goyal , Piotr Bojanowski , Armand Joulin
NeurIPS (NeurIPS). 2020.
PDF Code BibTeX
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra , Laurens van der Maaten
CVPR (CVPR). 2020.
PDF Code BibTeX
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan *, Ishan Misra *, Abhinav Gupta , Deepti Ghadiyaram *, Dhruv Mahajan *
CVPR (CVPR). 2020.
PDF Code BibTeX *Authors contributed equally
In Defense of Grid Features for Visual Question Answering
Huaizu Jiang , Ishan Misra , Marcus Rohrbach , Erik Learned-Miller , Xinlei Chen
CVPR (CVPR). 2020.
PDF Code BibTeX
3D-RelNet: Joint Object and Relational Network for 3D Prediction
Nilesh Kulkarni , Ishan Misra , Shubham Tulsiani , Abhinav Gupta
ICCV (ICCV). 2019.
PDF Code BibTeX
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal , Dhruv Mahajan , Abhinav Gupta *, Ishan Misra *
ICCV (ICCV). 2019.
PDF Code BibTeX *Authors contributed equally
Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding
Hexiang Hu , Ishan Misra , Laurens van der Maaten
ICCV Workshop on Vision and Language (ICCV Workshop on Vision and Language). 2019.
PDF Code BibTeX
Does Object Recognition Work for Everyone?
Terrance DeVries *, Ishan Misra *, Changhan Wang *, Laurens van der Maaten
CVPR (CVPR). 2019.
PDF BibTeX *Authors contributed equally
Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing
Angela Jiang , Daniel L.-K. Wong , Christopher Canel , Ishan Misra , Michael Kaminsky , Michael Kozuch , Padmanabhan Pillai , David G. Andersen and Gregory Ganger
USENIX Annual Technical Conference (USENIX Annual Technical Conference). 2018.
PDF BibTeX
Learning by Asking Questions
Ishan Misra , Ross Girshick , Rob Fergus , Martial Hebert , Abhinav Gupta , Laurens van der Maaten
CVPR (CVPR). 2018.
PDF BibTeX Oral
Cut Paste and Learn: Surprisingly Easy Synthesis
for Instance Detection
Debidatta Dwibedi , Ishan Misra , Martial Hebert
ICCV (ICCV). 2017.
PDF Code BibTeX
From Red Wine to Red Tomato: Composition with Context
Ishan Misra , Abhinav Gupta , Martial Hebert
CVPR (CVPR). 2017.
PDF Code BibTeX Oral
Shuffle and Learn: Unsupervised Learning
using Temporal Order Verification
Ishan Misra , C. Lawrence Zitnick , Martial Hebert
ECCV (ECCV). 2016.
PDF Code BibTeX
Seeing through the Human Reporting Bias:
Visual Classifiers from Noisy
Ishan Misra , C. Lawrence Zitnick , Margaret Mitchell , Ross Girshick
CVPR (CVPR). 2016.
PDF Code BibTeX
Cross-stitch Networks for Multi-Task Learning
Ishan Misra *, Abhinav Shrivastava *, Abhinav Gupta , Martial Hebert
CVPR (CVPR). 2016.
PDF BibTeX Spotlight *Authors contributed equally
Generating Natural Questions About an Image
Nasrin Mostafazadeh , Ishan Misra , Jacob Devlin , Margaret Mitchell , Xiaodong He , Lucy Vanderwende
ACL (ACL). 2016.
PDF Code BibTeX Oral Long Paper
Visual Storytelling
Ting-Hao Huang , Francis Ferraro , Nasrin Mostafazadeh , Ishan Misra , Jacob Devlin , Aishwarya Agrawal , Ross Girshick , Xiaodong He , Pushmeet Kohli , et al.
NAACL (NAACL). 2016.
PDF BibTeX
Watch and Learn: Semi-Supervised Learning of Object Detectors from Video
Ishan Misra , Abhinav Shrivastava , Martial Hebert
CVPR (CVPR). 2015.
PDF BibTeX
Applying artificial vision models to human scene understanding
Elissa Aminoff , M. Toneva , Abhinav Shrivastava , Xinlei Chen , Ishan Misra , et al.
Journal of Frontiers in Computational Neuroscience (Journal of Frontiers in Computational Neuroscience). 2015.
PDF
Data-driven Exemplar Model Selection
Ishan Misra , Abhinav Shrivastava , Martial Hebert
WACV (WACV). 2014.
PDF BibTeX Best Student Paper